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Entry Level Ai Infrastructure Engineer Jobs (NOW HIRING)

United Smart Tech

AI Engineer (Entry-Level)

Carrollton, TX · On-site

$20 - $23/hr

AI Engineer (Entry-Level) - Agents & Experimentation For more than 25 years, Asurion has led innovation in tech solutions while building a culture where employees feel valued and supported. We help ...

Denny's

Infrastructure Engineer

Spartanburg, SC · On-site

$105K - $138K/yr

Administrators on the team provide entry-level data center support, and the Infrastructure Engineer collaborates with them through informal knowledge sharing and runbook walk-throughs to cover ...

Denny's

Infrastructure Engineer

Spartanburg, SC

$105K - $138K/yr

Administrators on the team provide entry-level data center support, and the Infrastructure Engineer collaborates with them through informal knowledge sharing and runbook walk-throughs to cover ...

Life.Church

Infrastructure Engineer

Edmond, OK · On-site

$97K - $127K/yr

The Infrastructure Engineer is primarily responsible for serving as the strategic architect for the ... Leverage AI-assisted tooling to improve team efficiency, documentation quality, and system ...

Life.Church

Infrastructure Engineer

Edmond, OK

$97K - $127K/yr

The Infrastructure Engineer is primarily responsible for serving as the strategic architect for the ... Leverage AI-assisted tooling to improve team efficiency, documentation quality, and system ...

Zensors

AI/ML Infrastructure Engineer

San Francisco, CA · On-site

$126K - $166K/yr

Collaborating closely with AI research and platform engineering teams to optimize core parallel algorithms and influence the design of our next-generation inference infrastructure. * Model ...

RadixArk

AI Infra Resident (1-Year Program)

Palo Alto, CA · On-site

$116K - $148K/yr

About The Role RadixArk is launching a full-time, paid, 1-year residency program for aspiring AI infrastructure engineers. You'll rotate across inference, training, kernels, compilers, and cluster ...

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Entry Level Ai Infrastructure Engineer information

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$46.5K

$127.1K

$182K

How much do entry level ai infrastructure engineer jobs pay per year?

As of Jul 22, 2026, the average yearly pay for entry level ai infrastructure engineer in the United States is $127,066.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $141,000.00 per year, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level positions in artificial intelligence, such as senior AI engineers, research directors, or executive roles, which offer compensation in that range including salary, bonuses, and stock options. Entry-level AI infrastructure engineers usually earn significantly less, with salaries often starting in the low six figures depending on experience and location.

Can you become an AI engineer with no experience?

Becoming an AI infrastructure engineer typically requires some background in programming, data structures, and machine learning concepts. While prior experience is helpful, entry-level roles often accept candidates who demonstrate strong technical skills, a willingness to learn, and relevant certifications or coursework in AI and cloud platforms. Building a portfolio through projects and gaining familiarity with tools like Python, TensorFlow, or cloud services can improve chances of entry without prior professional experience.

What engineer makes $500,000 a year?

While most entry-level AI infrastructure engineers do not earn that level of salary, senior AI or machine learning engineers with extensive experience, specialized skills, and advanced certifications can reach or exceed $500,000 annually, especially in high-demand industries or companies with competitive compensation packages. Such roles often require expertise in cloud platforms, large-scale data processing, and deep learning frameworks.

What is the difference between Entry Level Ai Infrastructure Engineer vs Data Engineer?

AspectEntry Level Ai Infrastructure EngineerData Engineer
Required CredentialsBachelor's in CS, EE, or related; familiarity with AI toolsBachelor's in CS, Data Science, or related; experience with databases
Work EnvironmentAI/ML teams, cloud platforms, infrastructure setupData pipelines, database management, cloud services
Industry UsageTech companies, AI startups, research labsFinance, healthcare, tech firms, data-driven industries

Entry Level Ai Infrastructure Engineers focus on building and maintaining AI infrastructure, including cloud and hardware setups, while Data Engineers primarily develop data pipelines and manage data storage. Both roles require technical skills and often overlap in cloud environments, but they serve different core functions within data and AI projects.

How to become an AI infrastructure engineer?

To become an AI infrastructure engineer, you should have a strong foundation in computer science, including knowledge of cloud platforms, networking, and hardware systems. Gaining skills in programming languages like Python and understanding AI frameworks, along with certifications in cloud services such as AWS or Azure, can enhance your qualifications. Practical experience with deploying and managing AI models and infrastructure is also essential.
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Entry Level Ai Infrastructure Engineer jobs near you
Infographic showing various Entry Level Ai Infrastructure Engineer job openings in the United States as of July 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 64% In-person, 9% Hybrid, and 27% Remote job distribution, with an average salary of $127,066 per year, or $61.1 per hour.

Software Engineer, Agent Infrastructure

Netic

San Francisco, CA • On-site

$203K - $241K/yr

Full-time

Re-posted 4 days ago

Job description

Job Summary:
Netic is the AI revenue engine for essential services who are the backbone of the American economy. As an Agent Infrastructure Engineer, you’ll architect and scale the backbone supporting our autonomous AI agents, collaborating with a driven team to shape infrastructure and processes while leveraging cutting-edge cloud technologies.
Responsibilities:
• Build cloud infrastructure: Design and operate the backbone that hosts our AI agents and supports our platform.
• Automate operations: Create infrastructure as code and automated deployment pipelines for reliable releases.
• Enable scale: Implement systems that handle usage spikes gracefully through autoscaling and multi-region support.
• Create observability: Build monitoring, logging, and dashboards that provide real-time visibility into system health.
• Maintain security: Implement security best practices including IAM, network segmentation, and audit trails.
Qualifications:
Required:
• Infrastructure experience: 4+ years running distributed systems at scale with a major cloud platforms (we use GCP but AWS and Azure is great, too).
• Automation and engineering efficiency skills: Proven record of owning infrastructure-as-code and CI/CD pipelines (Terraform, Git Actions, etc).
• Performance expertise: Experience optimizing systems and databases to meet latency and cost targets under multi-modal workloads. For example, experience with pgBouncer, Kubernetes-based autoscaling, and similar tools.
• Observability knowledge: Fluent with modern monitoring and tracing tooling (we use Datadog) and built-in tools in Vercel or GCP.
• Security awareness: Understanding of enterprise security requirements and compliance needs like authentication and service proxies.
• Product mindset: Treat infrastructure as a product and prioritize ambiguous requirements to see around the corner for 1-2 years ahead of our current systems—measure impact and iterate continuously.
Preferred:
• Exposure to AI infrastructure and LLMs. Experience with hosting agents or with LLMs or an interest in experimenting with LLMs - even in your own free time!
Company:
Netic offers an AI-driven platform designed to enhance revenue generation, customer engagement, and growth through intelligent automation. Founded in 2024, the company is headquartered in San Francisco, USA, with a team of 11-50 employees. The company is currently Early Stage.

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